Better recommendations.
From day one.

Polanyi Labs gives DTC brands years’ worth of behavioral data from day one. It’s like giving your website a sales clerk who’s already spent years learning what your customers want.

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The conversion problem

Same product. Different data. Different outcome.

Without the data moat

  • Generic rankings for first-time visitors
  • Rising CAC chasing people who never feel understood
  • Personalization that waits years for enough history

With Polanyi

  • Recommendations that feel seasoned from the first session
  • Early adopters guided toward products they actually want
  • A recommendation system you can build before your own data catches up

Why conversion stalls

Smarter ranking starts with context you don’t have yet.

DTC brands don’t lose shoppers because the product is wrong. They lose them because personalization can’t see intent early — and competitors already trained on years of browsing signal.

What we do

Behavioral depth, packaged for your catalog.

01

We close the cold-start gap

New and growing DTC brands lack the years of behavioral history that giants use to personalize. We give you that history on day one — without waiting for it.

02

We simulate human shopping journeys

Synthetic personas browse, compare, reject, and buy across your category. The result is dense, human-like interaction data ready for ranking models.

03

We make recommendation systems work early

Plug packaged behavioral data into your stack so personalization starts converting before you have millions of sessions of your own.

How we do it

Simulate journeys.
Ship the data. Rank with intent.

We create synthetic shoppers for your category, capture the micro-decisions that reveal preference, and deliver structured signals your recommendation system can train on immediately.

Walk through the method
Michael Polanyi
We can know more than we can tell.
Michael Polanyi — The Tacit Dimension, 1966

Frequently Asked Questions

Synthetic shopping journeys for your category: people browse, compare, reject, and buy. You get structured behavioral data your ranking models can train on.

DTC brands that need recommendations to feel personal before they have years of their own sessions.

No. The shoppers are simulated. The behavior is modeled to look like human preference, not taken from your customers.

We package the signals for your catalog so they drop into the recommendation stack you already run.

Request a demo. We’ll show the journeys and how they map onto your products.

More in the full FAQ and our guide to synthetic data for recommendation systems.

Founders are in

Chat with the founders

Tell us about your catalog and your recommender. We’ll show you what a Polanyi run looks like on your site and whether it fits your stack.

  • A live walkthrough of a run on a storefront like yours
  • Straight answers on data, pricing, and pilots
  • No sales script. You talk to the people building it.

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Ready to convert earlier?

See how Polanyi Labs turns synthetic behavior into ranking power for your brand.

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